Question

是否可以在Python中执行glmm（如SPSS中的GENLINMIXED分析）？我是statsmodels的忠实粉丝，但这个图书馆似乎并不支持glmm ......还有其他选择吗？

-edit -

决定用R和r2py ......

来做

def RunAnalyseMLMlogit(dataset, outcomevars, meeneemvars, randintercept, randslope):

    from rpy2.robjects import pandas2ri
    from rpy2.robjects.packages import importr
    base = importr('base')
    stats = importr('stats')
    lme4 = importr('lme4')

    #data
    with SavReaderNp(dataset) as reader_np:
        array = reader_np.to_structured_array()

    df = pd.DataFrame(array)

    variabelen = ' '.join(outcomevars) + ' ~ ' + '+'.join(meeneemvars)
    randintercept2 = ['(1|'+i+')' for i in randintercept]
    intercept = '+'.join(randintercept2)
    randslope2 = ['(1+'+meeneemvars[0]+'|'+i+')' for i in randslope]
    slope = ' '.join(randslope2)

    pandas2ri.activate()
    r_df = pandas2ri.py2ri(df)

    #model
    #random intercepts + random slopes
    if len(randslope) > 0:
        formula = variabelen + '+' + intercept + '+' + slope

    #only random intercepts
    else:
        formula = variabelen + '+' + intercept

    model = lme4.glmer(formula, data=r_df, family= 'binomial')
    resultaat = base.summary(model).rx2('coefficients')
    uitkomst = base.summary(model)

    return uitkomst

Answer 1

根据this（诚然，不是最近的）帖子，仍然没有一个非常好的解决方案来运行Python中的glmms。但是，如果您只是寻找免费（并且更灵活！）替代在SPSS中运行测试，请查看R的lme4包。您甚至可以使用rpy2之类的包，并调用R直接来自Python，但这可能是一个小小的错误。

是否可以在Python中执行glmm？

1 个答案: